AMD FX-6350 vs Google Tensor

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CPU comparison with benchmarks


AMD FX-6350 CPU1 vs CPU2 Google Tensor
AMD FX-6350 Google Tensor

CPU comparison

AMD FX-6350 or Google Tensor - which processor is faster? In this comparison we look at the differences and analyze which of these two CPUs is better. We compare the technical data and benchmark results.

The AMD FX-6350 has 6 cores with 6 threads and clocks with a maximum frequency of 4.20 GHz. Up to GB of memory is supported in 2 memory channels. The AMD FX-6350 was released in Q2/2013.

The Google Tensor has 8 cores with 8 threads and clocks with a maximum frequency of 2.80 GHz. The CPU supports up to 12 GB of memory in 2 memory channels. The Google Tensor was released in Q4/2021.
AMD FX (30) Family Google Tensor (3)
AMD FX-6300 (2) CPU group Google Tensor (1)
2 Generation 1
Vishera (Bulldozer) Architecture G1
Desktop / Server Segment Mobile
-- Predecessor --
-- Successor Google Tensor G2

CPU Cores and Base Frequency

The AMD FX-6350 has 6 CPU cores and can calculate 6 threads in parallel. The clock frequency of the AMD FX-6350 is 3.90 GHz (4.20 GHz) while the Google Tensor has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Google Tensor is at 2.80 GHz.

AMD FX-6350 Characteristic Google Tensor
6 Cores 8
6 Threads 8
normal Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
Yes Overclocking ? No
3.90 GHz (4.20 GHz) A-Core 2.80 GHz
2x Cortex-X1
-- B-Core 2.25 GHz
2x Cortex-A76
-- C-Core 1.80 GHz
4x Cortex-A55

Artificial Intelligence and Machine Learning

Processors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. Algorithms for ML improve their performance the more data they have collected via software. ML tasks can be processed up to 10,000 times faster than with a classic processor.

AMD FX-6350 Characteristic Google Tensor
-- AI hardware Google Tensor AI
-- AI specifications Google Edge TPU @ 1.6 TOPS

Internal Graphics

The AMD FX-6350 or Google Tensor has integrated graphics, called iGPU for short. The iGPU uses the system's main memory as graphics memory and sits on the processor's die.

no iGPU GPU ARM Mali-G78 MP20
GPU frequency 0.76 GHz
-- GPU (Turbo) --
-- GPU Generation Vallhall 2
Technology 5 nm
Max. displays 1
-- Compute units 20
-- Shader 320
No Hardware Raytracing No
No Frame Generation No
-- Max. GPU Memory --
-- DirectX Version 12

Hardware codec support

A photo or video codec that is accelerated in hardware can greatly accelerate the working speed of a processor and extend the battery life of notebooks or smartphones when playing videos.

no iGPU GPU ARM Mali-G78 MP20
No Codec h265 / HEVC (8 bit) Decode / Encode
No Codec h265 / HEVC (10 bit) Decode / Encode
No Codec h264 Decode / Encode
No Codec VP9 Decode / Encode
No Codec VP8 Decode / Encode
No Codec AV1 Decode
No Codec AVC Decode / Encode
No Codec VC-1 Decode / Encode
No Codec JPEG Decode / Encode

Memory & PCIe

The AMD FX-6350 can use up to GB of memory in 2 memory channels. The maximum memory bandwidth is 29.9 GB/s. The Google Tensor supports up to 12 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 53.0 GB/s.

AMD FX-6350 Characteristic Google Tensor
DDR3-1866 Memory LPDDR5-5500
Max. Memory 12 GB
2 (Dual Channel) Memory channels 2 (Dual Channel)
29.9 GB/s Max. Bandwidth 53.0 GB/s
Yes ECC No
-- L2 Cache 8.00 MB
8.00 MB L3 Cache --
-- PCIe version --
-- PCIe lanes --
-- PCIe Bandwidth --

Thermal Management

The thermal design power (TDP for short) of the AMD FX-6350 is 125 W, while the Google Tensor has a TDP of 10 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

AMD FX-6350 Characteristic Google Tensor
125 W TDP (PL1 / PBP) 10 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The AMD FX-6350 is manufactured in 32 nm and has 8.00 MB cache. The Google Tensor is manufactured in 5 nm and has a 8.00 MB cache.

AMD FX-6350 Characteristic Google Tensor
32 nm Technology 5 nm
Unknown Chip design Unknown
x86-64 (64 bit) Instruction set (ISA) Armv8-A (64 bit)
SSE4.1, SSE4.2, AVX, FMA3, FMA4 ISA extensions --
AM3+ Socket --
AMD-V Virtualization None
Yes AES-NI No
Windows 10, Linux Operating systems Android
Q2/2013 Release date Q4/2021
115 $ Release price --
show more data show more data


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Average performance in benchmarks

⌀ Single core performance in 1 CPU benchmarks
AMD FX-6350 (53%)
Google Tensor (100%)
⌀ Multi core performance in 1 CPU benchmarks
AMD FX-6350 (72%)
Google Tensor (100%)

Geekbench 5, 64bit (Single-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
AMD FX-6350 AMD FX-6350
6C 6T @ 4.20 GHz
549 (53%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1043 (100%)

Geekbench 5, 64bit (Multi-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
AMD FX-6350 AMD FX-6350
6C 6T @ 4.20 GHz
2091 (72%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
2915 (100%)

Geekbench 6 (Single-Core)

Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The single-core benchmark only evaluates the performance of the fastest CPU core, the number of CPU cores in a processor is irrelevant here.
AMD FX-6350 AMD FX-6350
6C 6T @ 4.20 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1494 (100%)

Geekbench 6 (Multi-Core)

Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The multi-core benchmark evaluates the performance of all of the processor's CPU cores. Virtual thread improvements such as AMD SMT or Intel's Hyper-Threading have a positive impact on the benchmark result.
AMD FX-6350 AMD FX-6350
6C 6T @ 4.20 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
3639 (100%)

Cinebench R20 (Single-Core)

Cinebench R20 is the successor of Cinebench R15 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
AMD FX-6350 AMD FX-6350
6C 6T @ 4.20 GHz
212 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

Cinebench R20 (Multi-Core)

Cinebench R20 is the successor of Cinebench R15 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
AMD FX-6350 AMD FX-6350
6C 6T @ 4.20 GHz
1038 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

iGPU - FP32 Performance (Single-precision GFLOPS)

The theoretical computing performance of the internal graphics unit of the processor with simple accuracy (32 bit) in GFLOPS. GFLOPS indicates how many billion floating point operations the iGPU can perform per second.
AMD FX-6350 AMD FX-6350
@ 0.00 GHz
0 (0%)
Google Tensor Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz
1943 (100%)

AnTuTu 9 Benchmark

The AnTuTu 9 benchmark is very well suited to measuring the performance of a smartphone. AnTuTu 9 is quite heavy on 3D graphics and can now also use the "Metal" graphics interface. In AnTuTu, memory and UX (user experience) are also tested by simulating browser and app usage. AnTuTu version 9 can compare any ARM CPU running on Android or iOS. Devices may not be directly comparable when benchmarked on different operating systems.

In the AnTuTu 9 benchmark, the single-core performance of a processor is only slightly weighted. The rating is made up of the multi-core performance of the processor, the speed of the working memory, and the performance of the internal graphics.
AMD FX-6350 AMD FX-6350
6C 6T @ 3.90 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
691770 (100%)

AnTuTu 8 Benchmark

The AnTuTu 8 Benchmark measures the performance of a SoC. AnTuTu benchmarks the CPU, GPU, Memory as well as the UX (User Experience) by simulating browser and app usage. AnTuTu can benchmark any ARM CPU that runs under Android or iOS. Devices may not be directly compareable if the benchmark has been performed under different operating systems.

In the AnTuTu 8 benchmark, the single-core performance of a processor is only slightly weighted. The evaluation consists of the multi-core performance of the processor, the speed of the RAM and the performance of the internal graphics.
AMD FX-6350 AMD FX-6350
6C 6T @ 3.90 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
612494 (100%)

Estimated results for PassMark CPU Mark

Some of the CPUs listed below have been benchmarked by CPU-monkey. However the majority of CPUs have not been tested and the results have been estimated by a CPU-monkey’s secret proprietary formula. As such they do not accurately reflect the actual Passmark CPU mark values and are not endorsed by PassMark Software Pty Ltd.
AMD FX-6350 AMD FX-6350
6C 6T @ 4.20 GHz
7009 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

CPU-Z Benchmark 17 (Multi-Core)

The CPU-Z benchmark measures a processor's performance by measuring the time it takes the system to complete all benchmark calculations. The faster the benchmark is completed, the higher the score.
AMD FX-6350 AMD FX-6350
6C 6T @ 3.90 GHz
1109 (100%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
0 (0%)

Performance for Artificial Intelligence (AI) and Machine Learning (ML)

Processors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. The performance is given in the number (trillions) of arithmetic operations per second (TOPS).
AMD FX-6350 AMD FX-6350
6C 6T @ 3.90 GHz
0 (0%)
Google Tensor Google Tensor
8C 8T @ 2.80 GHz
1.6 (100%)

Devices using this processor

AMD FX-6350 Google Tensor
Unknown Google Pixel 6
Google Pixel 6 Pro

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